Pindrop Brings Real-Time Deepfake Detection to NICE CXone
Pindrop integrates its real-time fraud and deepfake defense technology with NICE's CXone and CX AI platform, bringing voice authentication to enterprise contact centers.
Visual Prompt Injection: How Hidden Images Hack AI Systems
Researchers reveal how imperceptible visual perturbations embedded in images can hijack vision-language models, bypassing safety filters and manipulating AI outputs without human detection.
Avast Launches AI-Powered Deepfake Guard for Consumer Protection
Avast expands its security suite with Deepfake Guard, a real-time AI detection tool designed to protect consumers from synthetic media threats during video calls and content viewing.
Why Human-Centric AI Needs Minimum Human Understanding Standards
New research argues AI systems claiming to be human-centric must demonstrate measurable human understanding capabilities, proposing frameworks for defining and testing these requirements.
How Persuasion Spreads Through Networks of AI Agents
New research examines how persuasive content propagates through multi-agent LLM systems, revealing critical insights for AI safety and synthetic influence detection.
Semantic Information Gain Rewards for Smarter AI Retrieval
New research introduces synthetic semantic information gain rewards to optimize when AI agents should retrieve external knowledge, improving reasoning efficiency without sacrificing accuracy.
Building Clinical AI Agents: Architecture, MLOps & Governance
A deep dive into engineering production-ready AI agents for healthcare, covering system architecture, MLOps pipelines, safety guardrails, and governance frameworks for high-stakes deployments.
Scalable Generative Game Engines via Hardware-Algorithm Co-Design
New research breaks the resolution barrier in generative game engines through innovative hardware-algorithm co-design, enabling real-time high-resolution AI video synthesis for interactive applications.
HumanStudy-Bench: Benchmarking AI Agents as Research Participants
New benchmark evaluates how well AI agents can simulate human research participants, raising important questions about synthetic behavior, authenticity detection, and the future of AI-human interaction studies.
New Method Pinpoints and Fixes LLM Planning Errors Automatically
Researchers develop a system that can identify where LLM-based planners go wrong and automatically correct mistakes, improving AI agent reliability for complex tasks.
Building Multi-Layered LLM Safety Filters Against Prompt Attacks
A comprehensive guide to implementing defense-in-depth strategies for LLM safety, covering adaptive filtering techniques to counter paraphrased and adversarial prompt injection attacks.
OpenAI Launches Codex Desktop App to Challenge Claude Code
OpenAI accelerates its developer tools strategy with a new Codex desktop application, intensifying competition with Anthropic's Claude Code in the AI coding assistant market.